Optimization problems rarely have a single right answer. In engineering design, scheduling, and machine learning, decision makers often juggle several conflicting objectives at once—minimizing cost w ...

With this approach, we obtain the following results: (i) Using well-established algorithms as computational tokens, (see section S5.3 for the entire list of tokens), our algorithm learns to chain ...

The current MA risk adjustment model has shortcomings, both in predictive accuracy and payment equity across the Medicare program, which could be mitigated using lessons from machine learning. MA ...

An EY study into today’s market leaders shows that, to some extent, retailers are doing the same things, just with different mindsets and maturity levels. Technology underpins how retailers can claim ...

Algorithms are the foundation of modern computing. They help computers solve problems, process data, and make decisions efficiently. Understanding the different types of algorithms is an important ...

Timely reconstruction of epidemic dynamics is essential for public health, and structured coalescent models constitute an essential tool for this purpose. However, statistical and computational ...

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This paper presents the design and implementation of SPiDR, an ultra-low-power spatial sensing system for miniature mobile robots. This acoustic sensor produces a cross-sectional map of the ...

Obsidian plugin to apply spaced repetition algorithms to everything in your vault. Borrowing from Andy Matuschak's notes outlining such a practice, this plugin applies the main concepts of spaced ...

Following its 2024 debut, the 2026 Bespoke AI Laundry Combo is launching with upgrades that shorten wash-to-dry cycles and enhance drying performance. The Super Speed cycle leverages a high-pressure ...

More brands are tapping into content scheduling with the increasing demand to activate multiple social media channel presences. X (previously Twitter), is one of the largest micro-blogging platforms, ...